Data analytics using real-time data has brought many challenges, particularly in respect to security. From data generation to storage, each step in the life cycle has its own challenges. This paper identifies those challenges. There are several security options that can utilized but for the purpose of this paper we have limited ourselves to the two most common mainstream techniques already used for protecting big data: encryption and access control. The goal is to ensure the confidentiality, integrity and availability (CIA) for phases of the data life cycle, from generation to storage. This research offers a novel approach to the data security and of real-time data transfer and analytics. This paper presents metrics for each of the identified security challenges and aims to validate a real-time data transfer and analytics environment from the security perspective of encryption and access control.